Ducks

DG: Jan Magdolen Morale : 54 Moyenne d'Équipe : 62
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Thomas Vanek (A)XX100.00604287828383887362495060688587055690
2Nazem KadriX100.00765578846288868192504960506667055680
3Maxime TalbotXXX100.00715885748373826486413971907883055670
4Bryan BickellX100.00774769735953686360403958506872055590
5Shawn ThorntonX100.00719958645951626260403959507682056580
6Viktor Arvidsson (R)XX100.00615266794957856761414260505151055580
7Tim SchallerXX100.00644368685850666274403965504747055560
8Nick CousinsX100.00664268694954696379404258914848055560
9Anthony PelusoX100.00779958656049616056393958505959056560
10Connor BrickleyXXX100.00724566695451646058423957504646055550
11Brian GibbonsXXX100.00556059704965635765383452505253055530
12Matt BartkowskiX100.00794580788878806125434074507364055670
13Simon DespresX100.00804688847881746125423876507164055670
14Andrew FerenceX100.00765581686678885525393871508893055650
15Jakub KindlX100.00684384796970687325424071507367055640
16Steven KampferX100.00764482726669756425403874505959055620
17Raphael DiazX100.00797094796867685225373462506263058600
18Matt TennysonX100.00683938696161686825313556505050055540
Rayé
1Brooks LaichX72.59734495787973856560434072708689045680
2Travis MoenXX100.00667565675950616058403961507983046580
MOYENNE D'ÉQUIPE98.6071557374656573645241406456666605461
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jaroslav Halak98.0072818183758875757270718284055760
2Peter Budaj100.0075877980746765647170706764055700
Rayé
MOYENNE D'ÉQUIPE99.007484808275787070727071757405573
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle9983898183831CAN6141,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Nazem KadriDucksDucksC4415100113052313.33%221.:.2110100071166.67%69202011.1701
2Andrew FerenceDucksDucksD402220041430.00%520.:.110110003000.00%015000.5000
3Thomas VanekDucksDucksLW/RW41121004121588.33%021.:.2101100071058.82%17132000.4711
4Bryan BickellDucksDucksLW420200071171218.18%016.:.0820200000033.33%380000.6200
5Brooks LaichDucksDucksC40220002154100.00%416.:.5802200010052.38%63142000.5911
6Steven KampferDucksDucksD402210046200.00%413.:.010000000000.00%015000.7700
7Matt BartkowskiDucksDucksD4011-30017113100.00%927.:.230000005000.00%0110000.1800
8Viktor ArvidssonDucksDucksLW/RW4011-20028590.00%313.:.1400000000050.00%4130000.3800
9Jakub KindlDucksDucksD40112003151040.00%120.:.530000003000.00%005000.2400
10Raphael DiazDucksDucksD4101100333133.33%013.:.210000001000.00%002000.3711
11Maxime TalbotDucksDucksC/LW/RW401100053140.00%119.:.1300000010080.00%510000.2600
12Nick CousinsDucksDucksC4101-200974414.29%212.:.3700000000161.29%3121000.4000
13Simon DespresDucksDucksD4011-42049880.00%1622.:.320110004000.00%028000.2200
14Shawn ThorntonDucksDucksRW4000-25531460.00%112.:.400000000000.00%231000.0000
15Tim SchallerDucksDucksC/LW4000020311300.00%209.:.5200000000070.59%1771000.0000
16Connor BrickleyDucksDucksC/LW/RW400010061050.00%009.:.44000000000100.00%340000.0000
17Matt TennysonDucksDucksD400002010000.00%103.:.570000000000.00%000000.0000
18Brian GibbonsDucksDucksC/LW/RW400006060140.00%016.:.2600000000050.00%401000.0000
19Anthony PelusoDucksDucksRW400015544100.00%110.:.070000000000.00%030000.0000
Stats d'équipe Total ou en Moyenne7691322-322109881148801116.08%52120415.85358201180005392260.55%2189345010.3734002211
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jaroslav HalakDucksDucks431094.4%1.48244006108631133.3%340010
Stats d'équipe Total ou en Moyenne43100.9441.4824400610863110.333340010


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrew FerenceD3717.03.1979No184 Lbs5 ft11NoNo1Pro Only2,000,000$0$Lien
Anthony PelusoRW2718.04.1989No235 Lbs6 ft3NoNo2Pro Only800,000$0$800,000$Lien
Brian GibbonsC/LW/RW2826.02.1988No170 Lbs5 ft8NoNo1Pro Only1,100,000$0$Lien
Brooks Laich (Sur la Masse Salariale)C3323.06.1983No195 Lbs6 ft2NoNo1Pro & Farm2,000,000$0$Lien
Bryan BickellLW3009.03.1986No223 Lbs6 ft4NoNo1Pro Only1,300,000$0$Lien
Connor BrickleyC/LW/RW2425.02.1992No190 Lbs6 ft0NoNo1Pro & Farm1,000,000$0$Lien
Jakub KindlD2910.02.1987No199 Lbs6 ft3NoNo1Pro & Farm2,500,000$0$Lien
Jaroslav HalakG3113.01.1985No186 Lbs5 ft11NoNo2Pro & Farm5,400,000$0$5,400,000$Lien
Matt BartkowskiD2804.06.1988No196 Lbs6 ft1NoNo1Pro Only1,500,000$0$Lien
Matt TennysonD2623.04.1990 15:09:08No205 Lbs6 ft2NoNo2Pro & Farm1,700,000$0$1,700,000$Lien
Maxime TalbotC/LW/RW3211.02.1984No176 Lbs5 ft11NoNo1Pro & Farm1,800,000$0$Lien
Nazem KadriC2606.10.1990No188 Lbs6 ft0YesNo3Pro & Farm5,800,000$0$5,800,000$5,800,000$Lien
Nick CousinsC2320.07.1993 9:46:42No169 Lbs5 ft10NoNo2Pro & Farm1,000,000$0$1,000,000$Lien
Peter BudajG3418.03.1982No192 Lbs6 ft1NoNo1Pro Only1,000,000$0$Lien
Raphael DiazD3009.01.1986 15:20:04No197 Lbs5 ft11NoNo1Pro & Farm1,400,000$0$Lien
Shawn ThorntonRW3923.07.1977No217 Lbs6 ft2NoNo1Pro & Farm1,500,000$0$Lien
Simon DespresD2527.06.1991 4:40:40No214 Lbs6 ft4NoNo1Pro Only2,400,000$0$Lien
Steven KampferD2824.09.1988No192 Lbs5 ft11NoNo2Pro & Farm1,300,000$0$1,300,000$Lien
Thomas VanekLW/RW3219.01.1984No218 Lbs6 ft2YesNo2Pro & Farm6,300,000$0$6,300,000$Lien
Tim SchallerC/LW2516.11.1990No206 Lbs6 ft2NoNo1Pro & Farm1,500,000$0$Lien
Travis MoenLW/RW3406.04.1982No212 Lbs6 ft2NoNo1Pro Only1,600,000$0$Lien
Viktor ArvidssonLW/RW2308.04.1993 1:18:58Yes172 Lbs5 ft9NoNo1Pro & Farm900,000$0$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2229.27197 Lbs6 ft11.36363636363642,081,818$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Nazem KadriThomas VanekMaxime Talbot40122
2Bryan BickellBrian Gibbons30122
3Nick CousinsViktor ArvidssonShawn Thornton20122
4Tim SchallerConnor BrickleyAnthony Peluso10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiSimon Despres40122
2Jakub KindlAndrew Ference30122
3Steven KampferRaphael Diaz20122
4Matt TennysonMatt Bartkowski10122
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Nazem KadriThomas VanekMaxime Talbot60122
2Bryan BickellBrian Gibbons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiSimon Despres60122
2Jakub KindlAndrew Ference40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Thomas VanekNazem Kadri60122
2Maxime Talbot40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiSimon Despres60122
2Jakub KindlAndrew Ference40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Thomas Vanek60122Matt BartkowskiSimon Despres60122
2Nazem Kadri40122Jakub KindlAndrew Ference40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Thomas VanekNazem Kadri60122
2Maxime Talbot40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BartkowskiSimon Despres60122
2Jakub KindlAndrew Ference40122
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Nazem KadriThomas VanekMaxime TalbotMatt BartkowskiSimon Despres
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Nazem KadriThomas VanekMaxime TalbotMatt BartkowskiSimon Despres
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Viktor Arvidsson, Shawn Thornton, Anthony PelusoViktor Arvidsson, Shawn ThorntonAnthony Peluso
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Kampfer, Raphael Diaz, Matt TennysonSteven KampferRaphael Diaz, Matt Tennyson
Tirs de Pénalité
Thomas Vanek, Nazem Kadri, , Maxime Talbot, Bryan Bickell
Gardien
#1 : Jaroslav Halak, #2 : Peter Budaj


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1DucksIslanders1100000052321.00058130032003751319028179258337.50%2150.00%0559657.29%416761.19%365565.45%2416207157
2DucksFlyers1010000013-200.000101100100348161003713827400.00%50100.00%0559657.29%416761.19%365565.45%2113258136
3DucksJets1000001021121.000213000102381314862719523400.00%000.00%0559657.29%416761.19%365565.45%2819208157
4DucksWild1000100021121.00024600100139181353173023000.00%000.00%0559657.29%416761.19%365565.45%2719167168
Vs Conference2000101042241.0004590011037731271394422546400.00%000.00%0559657.29%416761.19%365565.45%553937163115
Since Last GM Reset41101010107360.750101323104403148445642910952229816318.75%7185.71%0559657.29%416761.19%365565.45%1016983326030
Total41101010107360.750101323104403148445642910952229816318.75%7185.71%0559657.29%416761.19%365565.45%1016983326030

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
46W110132314810952229810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4111010107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201001034
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
210100073
Derniers 10 Matchs
WLOTWOTL SOWSOL
111010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
16318.75%7185.71%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
44564294403
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
559657.29%416761.19%365565.45%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1016983326030


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21Ducks@DucksFlyers3,Ducks1RECAP
Tue, Apr 22Ducks@DucksJets1,Ducks2 (SO)RECAP
Sat, Apr 26Ducks@DucksDucks2,Wild1 (OT)RECAP
Sun, Apr 27Ducks@DucksDucks5,Islanders2RECAP



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna65263435429417171202
Prix des Billets110434027160
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$17174100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
43,800,000$ 13,892,500$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
0$ 0$ 0$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 31,892,447$ 31,892,447$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Thomas VanekAGE:32PO:0OV:69
Maxime TalbotAGE:32PO:0OV:67
Bryan BickellAGE:30PO:0OV:59
*Viktor ArvidssonAGE:23PO:0OV:58
Travis MoenAGE:34PO:0OV:58
Craig CunninghamAGE:25PO:0OV:57
Tim SchallerAGE:25PO:0OV:56
Connor BrickleyAGE:24PO:0OV:55
*Jakub VranaAGE:20PO:0OV:54
*Valentin ZykovAGE:21PO:0OV:53
Brian GibbonsAGE:28PO:0OV:53
*Zac LarrazaAGE:23PO:0OV:52
*Sergey TolchinskyAGE:21PO:0OV:51
Alex GuptillAGE:24PO:0OV:50
*Justin KeaAGE:22PO:0OV:48
Brooks LaichAGE:33PO:0OV:68
Nazem KadriAGE:26PO:0OV:68
Maxime TalbotAGE:32PO:0OV:67
Craig CunninghamAGE:25PO:0OV:57
Tim SchallerAGE:25PO:0OV:56
Nick CousinsAGE:23PO:0OV:56
Connor BrickleyAGE:24PO:0OV:55
*Nick BaptisteAGE:21PO:0OV:53
Brian GibbonsAGE:28PO:0OV:53
Scott TimminsAGE:27PO:0OV:52
Brendan ShinniminAGE:25PO:0OV:52
Wade MeganAGE:26PO:0OV:51
*Justin KeaAGE:22PO:0OV:48
Colin JacobsAGE:23PO:0OV:47
Thomas VanekAGE:32PO:0OV:69
Maxime TalbotAGE:32PO:0OV:67
Shawn ThorntonAGE:39PO:0OV:58
*Viktor ArvidssonAGE:23PO:0OV:58
Travis MoenAGE:34PO:0OV:58
Craig CunninghamAGE:25PO:0OV:57
Anthony PelusoAGE:27PO:0OV:56
Connor BrickleyAGE:24PO:0OV:55
*Jakub VranaAGE:20PO:0OV:54
*Nick BaptisteAGE:21PO:0OV:53
*Valentin ZykovAGE:21PO:0OV:53
Brian GibbonsAGE:28PO:0OV:53
Kyle BaunAGE:24PO:0OV:52
Patrick KaletaAGE:30PO:0OV:51
*Sergey TolchinskyAGE:21PO:0OV:51

Défense #1Défense #2Gardien
Matt BartkowskiAGE:28PO:0OV:67
Simon DespresAGE:25PO:0OV:67
Andrew FerenceAGE:37PO:0OV:65
Jakub KindlAGE:29PO:0OV:64
Steven KampferAGE:28PO:0OV:62
Raphael DiazAGE:30PO:0OV:60
Jay HarrisonAGE:33PO:0OV:56
*Stuart PercyAGE:23PO:0OV:55
Adam ComrieAGE:26PO:0OV:55
*Dillon HeatheringtonAGE:21PO:0OV:54
Matt TennysonAGE:26PO:0OV:54
Steven DelisleAGE:26PO:0OV:53
*Guillaume GelinasAGE:23PO:0OV:50
Sena AcolatseAGE:25PO:0OV:50
*Joey LeachAGE:24PO:0OV:49
*Brennan ServilleAGE:23PO:0OV:48
Jaroslav HalakAGE:31PO:0OV:76
Peter BudajAGE:34PO:0OV:70
*Malcolm SubbanAGE:22PO:0OV:65
*Matthew O'ConnorAGE:24PO:0OV:62
Drew MacIntyreAGE:33PO:0OV:62

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Filip HronekDucks201677
Graham McPheeDucks2016207
Jacob CederholmDucks2016129
Johan FranzenDucks
Jordan KyrouDucks201632
Josh AndersonDucks2016147
Josh BrittainDucks
Kasper BjorkqvistDucks201655
Logan MacMillanDucks
Marco CousineauDucks
Maxime ClermontDucks
Maxime MacenauerDucks
Nick PryorDucks
Nikita KashirskyDucks
Patrik LaineDucks20162
Petri KontiolaDucks
Radel FazleevDucks2014143
Ryan HegartyDucks
Sean BergenheimDucks
Sean KuralyDucks2011159
Sebastian StefaniszinDucks
Sebastian WannstromDucks
Stefan LegeinDucks
Stephane Da CostaDucks
Teemu KivihalmeDucks2013133
Thomas VannelliDucks201354
Timo PielmierDucks
Vladimir TkachevDucks2014107
William LockwoodDucks2016122
Yegor KorshkovDucks201659

Choix au Repêchage

Année R1R2R3R4R5R6R7
2017ANA ANA ANA OTT TBL ANA ANA ANA ANA
2018ANA BUF ANA ANA ANA ANA ANA ANA
2019ANA ANA ANA ANA ANA ANA ANA
2020ANA ANA ANA ANA ANA ANA ANA
2021ANA ANA ANA ANA ANA ANA ANA



[12.09.2016 4:50:22] - Ducks drafts Kasper Bjorkqvist as the #55 overall pick in the Entry Draft of year 2016.
[12.09.2016 4:51:37] - Ducks drafts Yegor Korshkov as the #59 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:25:01] - Ducks drafts Filip Hronek as the #77 overall pick in the Entry Draft of year 2016.
[14.09.2016 7:28:07] - Maxime Talbot was added to Ducks.
[14.09.2016 7:28:08] - TRADE : From Devils to Ducks : Maxime Talbot (66), 1 200 000 Kč (Money).
[24.09.2016 5:31:29] - Ducks drafts William Lockwood as the #122 overall pick in the Entry Draft of year 2016.
[24.09.2016 6:00:03] - Admirals. hired John Stevens for 100 000 Kč for 5 year(s).
[25.09.2016 9:19:17] - Matt Bartkowski was added to Ducks.
[25.09.2016 9:19:18] - TRADE : From Ducks to Sharks : 1 Kč (Money).
[25.09.2016 9:19:18] - TRADE : From Sharks to Ducks : Matt Bartkowski (67).
[25.09.2016 9:19:42] - Anthony Peluso was added to Ducks.
[25.09.2016 9:19:42] - Travis Moen was added to Ducks.
[25.09.2016 9:19:42] - Peter Budaj was added to Ducks.
[25.09.2016 9:19:43] - TRADE : From Ducks to Wild : 2 Kč (Money).
[25.09.2016 9:19:43] - TRADE : From Wild to Ducks : Anthony Peluso (56), Travis Moen (57), Peter Budaj (70).
[25.09.2016 9:19:58] - Jay Harrison was added to Ducks.
[25.09.2016 9:19:59] - TRADE : From Ducks to Predators : 1 Kč (Money).
[25.09.2016 9:19:59] - TRADE : From Predators to Ducks : Jay Harrison (55).
[26.09.2016 6:04:02] - Ducks drafts Jacob Cederholm as the #129 overall pick in the Entry Draft of year 2016.
[02.10.2016 7:12:25] - Shawn Thornton was added to Ducks.
[02.10.2016 7:12:25] - Shawn Thornton signed with Ducks for 1 500 000 Kč for 1 year(s) with 0 Kč in bonus.
[02.10.2016 7:19:19] - Ducks drafts Josh Anderson as the #147 overall pick in the Entry Draft of year 2016.
[08.10.2016 6:08:56] - Brian Gibbons was added to Ducks.
[08.10.2016 6:08:56] - Bryan Bickell was added to Ducks.
[08.10.2016 6:08:57] - TRADE : From Hurricanes to Ducks : Brian Gibbons (57), Bryan Bickell (58), Y:2016-RND:7-CHI.
[08.10.2016 6:08:57] - TRADE : From Ducks to Hurricanes : Justin Vaive (52), Corey Tropp (55).
[08.10.2016 6:12:41] - Andrew Ference was added to Ducks.
[08.10.2016 6:12:42] - TRADE : From Flames to Ducks : Andrew Ference (64), 2 000 000 Kč (Money).
[12.10.2016 5:55:11] - Ducks drafts Graham McPhee as the #207 overall pick in the Entry Draft of year 2016.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT